... computer-aided design data-driven design design optimization generative design The rapid advancements in artificial intelligence (AI) have revolutionized various domains, and the field of mechanical engineering is no exception. The significance of comprehensive and diverse datasets has become...

... of ASME for publication in the J ournal of M echanical D esign . 02 07 2024 27 10 2024 07 11 2024 22 11 2024 Email: shenmengyuan@sjtu.edu.cn Email: bohan.feng@sjtu.edu.cn Email: aoxiang.cheng@sjtu.edu.cn Email: youyi.bi@sjtu.edu.cn Data-driven design...

... for publication in the J ournal of M echanical D esign . 30 06 2024 22 09 2024 26 09 2024 21 11 2024 Data-driven design design theory and methodology user-centered design Accepted Manuscript Not Copyedited Journal of Mechanical Design. Received June 30, 2024; Accepted...

... The training phase and inference phase steps are bounded by green dash-dot lines and red dashed lines, respectively planar 4- 6- and 8-bar linkage path synthesis variational autoencoder neural networks machine learning deep learning dataset generation data-driven design deep generative models...

... artificial intelligence computer-aided engineering data-driven design design for manufacturing design process machine learning simulation-based design References [1] Rankin , J. J. , and Ott , D. A. , 1992 , “ The Open Approach to FEA Integration in the Design Process...

...@utdallas.edu alternative energy system design artificial intelligence Data-driven design Journal of Mechanical Design. Received June 25, 2024; Accepted manuscript posted October 07, 2024. doi:10.1115/1.4067056 Copyright © 2024 by ASME Accepted Manuscript Not Copyedited Bi-Level Inter-Turn Short...

... Abstract Figure surrogate modeling image-based surrogates deep neural networks dimensionality reduction artificial intelligence data-driven design machine learning robust design uncertainty modeling Office of Energy Efficiency and Renewable Energy 10.13039/100006134 DE...

...: jwang22@scu.edu Email: kwang4@scu.edu Contributed by the Design Automation Committee of ASME for publication in the J ournal of M echanical D esign . 10 05 2024 03 09 2024 05 09 2024 18 10 2024 Graphical Abstract Figure data-driven design design...

... Graphical Abstract Figure porous metamaterial graph neural network variational graph autoencoder design optimization generative design connectivity data-driven design design of engineered materials system machine learning Division of Civil, Mechanical and Manufacturing Innovation...

.... Not surprisingly, designers often struggle with the available choices. artificial intelligence data-driven design design automation design optimization generative design machine learning multi-objective optimization Graphical Abstract Figure 31 08 2023 24 06 2024 11 07...

... Graphical Abstract Figure data-driven design design optimization machine learning topology optimization Advanced Research Projects Agency - Energy 10.13039/100006133 DE-AR0001216 Directorate for Engineering 10.13039/100000084 1943699 Design optimization...

... 2024 13 06 2024 01 07 2024 23 07 2024 1 Corresponding author. Email: N.D.Charisi@tudelft.nl Email: J.J.Hopman@tudelft.nl Email: A.A.Kana@tudelft.nl conceptual design data-driven design design space exploration multi-fidelity Gaussian processes compositional...

... constrained multi-objective optimization robustness metrics computational efficiency artificial intelligence data-driven design design automation design for manufacturing design integration design of multiscale systems design optimization machine learning metamodeling Designing...

... structural topology graph neural network GNN design space computer-aided engineering conceptual design data-driven design design evaluation design validation References [1] Silver , D. , Huang , A. , Maddison , C. J. , Guez , A. , Sifre , L. , Van Den...

... 09 04 2024 Graphical Abstract Figure data-driven design design of experiments design optimization design process machine learning simulation-based design Advanced Research Projects Agency - Energy 10.13039/100006133 DE-AR0001427 National Science Foundation...

... that exhibit high levels of performance. Japan Society for the Promotion of Science 10.13039/501100001691 20H02054 20KK0329 23H03799 topology optimization deep generative model latent crossover maximum stress minimization data-driven design machine learning multiobjective...

... simple 2D perspective renderings for drag coefficient prediction. To train our model, we also assemble a diverse dataset of high-quality 3D car meshes and simulate their drag coefficients using CFD simulations. This dataset, upon public release, can drive the development of other data-driven design...

... of M echanical D esign . 17 10 2023 12 02 2024 13 02 2024 18 03 2024 Graphical Abstract Figure Gaussian processes multi-fidelity modeling microstructure reconstruction inverse problems thermal management data-driven design design automation design...

... networks conformal predictions GNN mesh segmentation 3D model segmentation CFD data-driven design design automation design evaluation simulation-based design In the field of engineering design, it’s common for engineers to depict their designs using 3D computer-aided design (CAD...

... 03 2024 Graphical Abstract Figure multi-task learning partially observed information reliability-based design optimization uncertainty quantification data-driven design design automation design optimization machine learning metamodeling reliability in design systems...